Word Sense Classification Using Support Vector Machines

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Supervised Sense Tagging using Support Vector Machines

We describe the University of Maryland's supervised sense tagger, which participated in the SENSEVAL-2 lexical sample evaluations for English, Spanish, and Swedish; we also present unofficial results for Basque. We designed a highly modular combination of language-independent feature extraction and supervised learning using support vector machines in order to permit rapid ramp-up, language inde...

متن کامل

STAGE-DISCHARGE MODELING USING SUPPORT VECTOR MACHINES

Establishment of rating curves are often required by the hydrologists for flow estimates in the streams, rivers etc. Measurement of discharge in a river is a time-consuming, expensive, and difficult process and the conventional approach of regression analysis of stage-discharge relation does not provide encouraging results especially during the floods. P

متن کامل

Ankle Fatigue Classification Using Support Vector Machines

Fall accidents are a significant problem for the elderly, in terms of both human suffering and economic losses. Localized muscle fatigue is a potential risk factor for slip-induced falls as muscle fatigue adversely affects proprioception, movement coordination and muscle reaction times leading to postural instability and gait changes. Specifically, fatigue in ankle is associated with decline in...

متن کامل

Framewise phone classification using support vector machines

We describe the use of Support Vector Machines for phonetic classification on the TIMIT corpus. Unlike previous work, in which entire phonemes are classified, our system operates in a framewise manner and is intended for use as the front-end of a hybrid system similar to ABBOT. We therefore avoid the problems of classifying variable-length vectors. Our frame-level phone classification accuracy ...

متن کامل

Automatic Syllabus Classification using Support Vector Machines

Syllabi are important educational resources. Gathering syllabi that are freely available and creating useful services on top of the collection presents great value for the educational community. However, searching for a syllabus on the Web using a generic search engine is an error-prone process and often yields too many irrelevant links. In this chapter, we describe our empirical study on autom...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: KIPS Transactions on Software and Data Engineering

سال: 2016

ISSN: 2287-5905

DOI: 10.3745/ktsde.2016.5.11.563